Open Journal of Science and Technology <p>The "Open Journal of&nbsp;Science and Technology<em> (OJST) (ISSN -2664-7974</em>) aims to present the latest thinking and research on recent developments in Science that meet high academic quality standards, while still being accessible to non-specialists. OJST is a multidisciplinary research journal focused on Pure sciences, Applied sciences, and social sciences. <em>OJST </em>journal is a peer-reviewed journal, with a blind peer-review procedure involving at least two reviewers. The Journal publishes four (04) issues a year. OJST welcomes full-length research papers, Review Papers, and Research Notes. The Open Journal of Science and Technology<em> (OJST)</em>&nbsp;aims to bring its readers the very best analysis and discussion in the varied field of applied sciences.</p> en-US (Sobia Irum) (Dr. Muhammad Imran Qureshi) Sun, 07 Mar 2021 23:31:34 -0500 OJS 60 Heart disease diagnosis based on deep learning network <p class="RiAbstractText"><span lang="EN-US">Heart disease is the leading cause of death, the cardiovascular disease (CVD) is the major cause of the death world wide according to world health organization. Over 30% of global death was because CVD. However it is considered as controllable disease, so early and accurate diagnosis of heart disease is essential to administrating early and optimal treatment in order to increase long –term survival. Early detection can lead to reduce disease progression. In this paper, we propose a new deep neural network that can be used as classifier in heart disease prediction system, the data base is splitted into training and testing parts, the training data are prepressed by extracting its features in order to perform data augmentation, then the augmented data are training by the designed new model that can increase the accuracy of heart disease detection. from the experimental results, the proposed model provide significant improvement in the prediction of the disease in terms of accuracy, sensitivity and specificity as compared with other approaches</span></p> Aqeel Hamad, Ammar Jasim Copyright (c) 2021 Open Journal of Science and Technology Sun, 07 Mar 2021 01:03:58 -0500 The rol of licorice for remediation of saline soils <p>Soil salinity is a major threat to the sustainability of agricultural production and rural livelihoods in the Mirzachul area in Uzbekistan. Leaching, a traditional practice to cope with salinity through flushing of soils with fresh water in order to remove excess salts from the topsoil, is no longer feasible due to disrepair and inefficient operation of the drainage networks. As a result, salinized lands are either giving very low yields and income or are abandoned, which is negatively affecting rural livelihoods. As an intermediate solution, the cultivation of licorice (<em>Glycyrrhiza glabra</em>) is proposed as a viable alternative, as it rehabilitates salinized soils and improves their fertility - so that major crops can be again grown profitably in these abandoned or highly saline lands. In addition to its positive impact on the sustainability of agricultural production in irrigated areas, licorice cultivation can also increase farm income thanks to the high economic value and marketability of its roots and the value of its biomass as livestock feed.&nbsp;&nbsp;</p> Khabibjon Kushiev, Ismailova K.M. , Rakhmonov I. , Kenjaev A. Copyright (c) 2021 Open Journal of Science and Technology Sun, 07 Mar 2021 01:09:30 -0500 A mathematical analysis of magnetic field effect on the solute dispersion in blood flow through an artery <p>Blood flow can be deemed as a fluid dynamics problem in a human arterial system, and one of the practical issues in biomedical engineering is dispersion of solute. This research aims to examine the magnetic field effect on the dispersion of solute in blood flow through an artery by representing the blood as Casson fluid. An analytical solution of velocity with magnetic field is attained. By solving convective-diffusion equation and implementing Taylor-Aris dispersion technique, the concentration of solute, relative and effective axial diffusivity are attained. The existence of magnetic field induces the magnetic force that affects the blood velocity and solute dispersion process. The influences of magnetic field toward the blood flow velocity and solute dispersion process are discussed graphically. The results indicate that the blood velocity, solute concentration, relative and effective axial diffusivity rises with the increment of pressure gradient and reduces with the increment of Hartmann number, magnetic field gradient and plug core radius. Thus, it is examined that the magnetic field reduces the blood velocity and axial diffusivity. On this basis, it is hoped that the present study would enable someone to understand the process of solute dispersion in blood flow.</p> Farihatun Najwa Mohd Radzi , Nurul Aini Jaafar, Md Faisal Md Basir Copyright (c) 2021 Open Journal of Science and Technology Sun, 07 Mar 2021 01:15:18 -0500 The Analysis of QoS parameters for IoT networks <p class="RiAbstractText"><span lang="EN-US">A large amount of data is transferred by the IoT devices over the network. The successful transmission of data from the source nodes to the destination nodes depends on the reliability of the network. In the absence of good networks the IoT technology will not be able to work properly as the failure in transfer of data would result in the malfunctioning of the applications. The Quality of Services (QoS) parameters of the network helps in knowing the capability of the networks in transferring data. These parameters would help the service providers to improve the shortcomings in the network and provide better service to its users. End to end delay, packet delivery ratio, energy consumption, jitter, routing over load and throughput are some of the parameters discussed in this paper. The parameters have been calculated by the different types of network and the variation of these parameters with the change in the size of network have been studied.</span></p> Anjum Sheikh, Asha Ambhaikar, Sunil Kumar Copyright (c) 2021 Open Journal of Science and Technology Sun, 07 Mar 2021 01:18:14 -0500